class_docstr: Args:
      input_shape (int): network input image size
      scale_factor (float): scale factor of ori image
code: def __init__(
      self,
      score_threshold=0.4,
      nms_threshold=0.5,
      nms_top_k=10000,
      keep_top_k=300,
  ):
      self.score_threshold = score_threshold
      self.nms_threshold = nms_threshold
      self.nms_top_k = nms_top_k
      self.keep_top_k = keep_top_k
  
file_path: PaddleDetection/deploy/auto_compression/post_process.py
imports: import numpy
  import cv2
label_desc: Use image node_id 1 to create a new PPYOLOEPostProcess object from inherited base classes: object with example: obj = PPYOLOEPostProcess(score_threshold, nms_threshold, nms_top_k, keep_top_k)